• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.160-172
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• 2024

The characteristic aspects of learning a foreign language require special resources and tools for online learning. Criteria for choosing educational platforms depend on key elements of an academic subject area. Microsoft Teams (hereafter, MT) educational platform is competitive one because it meets most of the needs that arise during the formation of a secondary linguistic persona. Due to the large number of corporate programs, there are a successful acquisition of language skills and the implementation of all types of oral activities of students. A significant MT advantage is the constant analysis and monitoring of the platform of participants' needs in the educational process by developers. The article highlights MT advantages and disadvantages. The attention is drawn to individual programs, which, in the authors' opinion, are the most successful to learn writing, reading, speaking, listening, as well as organize classes that meet needs of modern foreign students.

• Electronics and Telecommunications Trends
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• v.39 no.4
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• pp.82-92
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• 2024

This paper introduces the technological development trends in on-device SLMs (Small Language Models). Large Language Models (LLMs) based on the transformer model have gained global attention with the emergence of ChatGPT, providing detailed and sophisticated responses across various knowledge domains, thereby increasing their impact across society. While major global tech companies are continuously announcing new LLMs or enhancing their capabilities, the development of SLMs, which are lightweight versions of LLMs, is intensely progressing. SLMs have the advantage of being able to run as on-device AI on smartphones or edge devices with limited memory and computing resources, enabling their application in various fields from a commercialization perspective. This paper examines the technical features for developing SLMs, lightweight technologies, semiconductor technology development trends for on-device AI, and potential applications across various industries.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.1
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• pp.19-27
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• 2018

For the purpose of technology planning and R&D strategy, this research developed a methodology for deriving technical information based on stakeholder requirements using natural language processing technology. The requirements are decomposed into semantic information based on grammar rules, and then the requirement information based technology information can be derived by linking with the three technical information extracted from the patent.

• Annual Conference on Human and Language Technology
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• 2003.10d
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• pp.252-258
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• 2003

Web Globalization(이하 WG)은 global e-biz의 핵심으로 인터넷에 남은 가장 큰 사업이라고 할 수 있다. WG은 국제 시장 대응을 위해 다국어 웹사이트를 구축 및 관리하는 일이며 업무의 복잡성으로 인해 다국어 프로세스 자동화와 관리 도구가 절실히 요구되는 분야이다. 이에 WG의 시장 및 기술 동향을 살펴보고, Cadieux 모델에 기반한 모비코앤시스메타(이하 MnS)의 새로운 WG 시스템을 설명하고자 한다. 본 연구에서는 e-biz 세계화의 가장 큰 특징인 빈번한 트랜잭션과 콘텐츠 번역 프로세스를 자동화함으로 높은 비용 효과 달성을 기본목표로 하였으며, 다국어 글로벌 커뮤니티 지원 기능과 복잡한 문서 및 동영상과 같은 멀티미디어 콘텐츠의 세계화가 가능하도록 설계되었다. 마지막으로 프로토타입인 iGLOBIZ 시스템을 실제 구현해 봄으로 기술 및 상업화 가능성을 확인하고 향후의 연구 방향을 모색해 보았다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.243-244
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• 2020

본 논문에서는 기존 AI 기능을 탑재한 교육용 프로그래밍 언어 기반의 서비스들의 문제점을 개선할 수 있는 머신러닝 학습을 위한 교육용 프로그래밍 언어 기반 실습 플랫폼을 제안한다. 이번 연구에서는 기존 교육용 프로그래밍 언어 기반 서비스의 대표주자인 Scratch 3.0과 Tensorflow를 접목하여 AI에 대한 높은 이해도를 가질 수 있도록 하는 학습 방향을 제시하고 Gray-Box 형태의 학습 모델 서비스를 구현한다.

• Electronics and Telecommunications Trends
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• v.39 no.1
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• pp.95-105
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• 2024

In natural language processing, large language models such as GPT-4 have recently been in the spotlight. The performance of natural language processing has advanced dramatically driven by an increase in the number of model parameters related to the number of acceptable input tokens and model size. Research on multimodal models that can simultaneously process natural language and image data is being actively conducted. Moreover, natural-language and image-based reasoning capabilities of large language models is being explored in robot artificial intelligence technology. We discuss research and related patent trends in robot task planning and code generation for robot control using large language models.

• Journal of applied mathematics & informatics
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• v.28 no.3_4
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• pp.639-649
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• 2010

In this paper, a definition of interval-valued fuzzy regular language (IVFRL) is proposed and their related properties studied. A model of finite automaton (DFA and NDFA) with interval-valued fuzzy transitions is proposed. Acceptance of interval-valued fuzzy regular language by the finite automaton (DFA and NDFA) with interval-valued fuzzy transitions are examined. Moreover, a definition of finite automaton (DFA and NDFA) with interval-valued fuzzy (final) states is proposed. Acceptance of interval-valued fuzzy regular language by the finite automaton (DFA and NDFA) with interval-valued fuzzy (final) states are also discussed. It is observed that, the model finite automaton (DFA and NDFA) with interval-valued fuzzy (final) states is more suitable than the model finite automaton (DFA and NDFA) with interval-valued fuzzy transitions for recognizing the interval-valued fuzzy regular language. In the end, interval-valued fuzzy regular expressions are defined. We can use the proposed interval-valued fuzzy regular expressions in lexical analysis.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.60-63
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• 2012

This paper is about one practical case on applying interdisciplinary collaboration on the education of technical writing and presentation for the engineering students. There are many points for the collaboration on various stages. Points of collaboration from the literature faculty and engineering faculty are discussed. Also collaboration forms in each educational stage are discussed. Finally a practical case of applying the collaboration scheme are described based on a real class example.

• Journal of Engineering Education Research
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• v.17 no.5
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• pp.13-16
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• 2014

This paper describes the evaluation procedures which was applied to the team teaching-based technical writing and presentation class. Among the various evaluations for the class, three major cases are introduced. Self-established goal evaluation, presentation evaluation and team evaluation are those. Each evaluation is designed to promote or evaluate student activities from the class. And it was found to be effective for team-based writing class.

• International Journal of Contents
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• v.15 no.2
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• pp.44-52
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• 2019

This paper uses Delphi Method and statistics provided by the State Administration of Market Regulation of China, attempts to develop the scale index of language service industry in China. Coupled with practical investigation and theoretical framework of SCP paradigm, a deep analysis on market behavior, market structure, and market performance of the industry have been explored. First, the study indicates that the scale index of Chinese language services industry has experienced an upward trend from 10.481million RMB in 2008 to 351.403 million RMB in 2017. Second, majority of language services enterprises are situated in Chinese coastal provinces and there are variations in demand for language services. Third, the standardization of language services are minimal while most of the talents involve a single discipline background. Fourth, most enterprises utilize language tools while there is lack of technological innovation for utilization of language resources and enhancement of service quality. The author mainly suggests four strategies which include: cultivating multilingual services, strengthening the development of industrial informatization and technical innovation, and optimizing the industrial talents structure while also adjusting for industrial distribution and regional coordination, which propose the meaningful implications for the development of language service industry in China.